ExxonMobil Data Scientist Interview Questions
The questions to prepare for a ExxonMobil Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
ExxonMobilExplain how regression and classification differ, including target type, outputs, and how you evaluate each.
ExxonMobilExplain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
ExxonMobilTests exploratory analysis and time-series or cohort thinking for energy consumption data.
ExxonMobilApproach for maintaining data quality and integrity across ETL pipelines.
ExxonMobilExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
ExxonMobilTests proficiency with data wrangling and numerical computation for analysis workflows.
ExxonMobilTests ability to identify relevant datasets and connect them to operational levers.
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Aggregate completed SMX product sales and return the top 10 products by units sold.
SMX
Bell
EazeAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AI